Amazon EMR release 6.3.0 - Amazon EMR
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Amazon EMR release 6.3.0

6.3.0 application versions

The following applications are supported in this release: Flink, Ganglia, HBase, HCatalog, Hadoop, Hive, Hudi, Hue, JupyterEnterpriseGateway, JupyterHub, Livy, MXNet, Oozie, Phoenix, Pig, Presto, PrestoSQL, Spark, Sqoop, TensorFlow, Tez, Zeppelin, and ZooKeeper.

The table below lists the application versions available in this release of Amazon EMR and the application versions in the preceding three Amazon EMR releases (when applicable).

For a comprehensive history of application versions for each release of Amazon EMR, see the following topics:

Application version information
emr-6.3.0 emr-6.2.1 emr-6.2.0 emr-6.1.1
Amazon SDK for Java 1.11.9771.11.8801.11.8801.11.828
Python 2.7, 3.72.7, 3.72.7, 3.72.7, 3.7
Scala 2.12.102.12.102.12.102.12.10
AmazonCloudWatchAgent - - - -
Delta - - - -
Flink1.12.11.11.21.11.21.11.0
Ganglia3.7.23.7.23.7.23.7.2
HBase2.2.62.2.6-amzn-02.2.6-amzn-02.2.5
HCatalog3.1.23.1.23.1.23.1.2
Hadoop3.2.13.2.13.2.13.2.1
Hive3.1.23.1.23.1.23.1.2
Hudi0.7.0-amzn-00.6.0-amzn-10.6.0-amzn-10.5.2-incubating-amzn-2
Hue4.9.04.8.04.8.04.7.1
Iceberg - - - -
JupyterEnterpriseGateway2.1.02.1.02.1.0 -
JupyterHub1.2.21.1.01.1.01.1.0
Livy0.7.00.7.00.7.00.7.0
MXNet1.7.01.7.01.7.01.6.0
Mahout - - - -
Oozie5.2.15.2.05.2.05.2.0
Phoenix5.0.05.0.05.0.05.0.0
Pig0.17.00.17.00.17.00.17.0
Presto0.245.10.238.30.238.30.232
Spark3.1.13.0.13.0.13.0.0
Sqoop1.4.71.4.71.4.71.4.7
TensorFlow2.4.12.3.12.3.12.1.0
Tez0.9.20.9.20.9.20.9.2
Trino (PrestoSQL)350343343338
Zeppelin0.9.00.9.00.9.00.9.0
ZooKeeper3.4.143.4.143.4.143.4.14

6.3.0 release notes

The following release notes include information for Amazon EMR release 6.3.0. Changes are relative to 6.2.0.

Initial release date: May 12, 2021

Last updated date: August 9, 2021

Supported applications
  • Amazon SDK for Java version 1.11.977

  • CloudWatch Sink version 2.1.0

  • DynamoDB Connector version 4.16.0

  • EMRFS version 2.46.0

  • Amazon EMR Goodies version 3.2.0

  • Amazon EMR Kinesis Connector version 3.5.0

  • Amazon EMR Record Server version 2.0.0

  • Amazon EMR Scripts version 2.5.0

  • Flink version 1.12.1

  • Ganglia version 3.7.2

  • Amazon Glue Hive Metastore Client version 3.2.0

  • Hadoop version 3.2.1-amzn-3

  • HBase version 2.2.6-amzn-1

  • HBase-operator-tools 1.0.0

  • HCatalog version 3.1.2-amzn-0

  • Hive version 3.1.2-amzn-4

  • Hudi version 0.7.0-amzn-0

  • Hue version 4.9.0

  • Java JDK version Corretto-8.282.08.1 (build 1.8.0_282-b08)

  • JupyterHub version 1.2.0

  • Livy version 0.7.0-incubating

  • MXNet version 1.7.0

  • Oozie version 5.2.1

  • Phoenix version 5.0.0

  • Pig version 0.17.0

  • Presto version 0.245.1-amzn-0

  • PrestoSQL version 350

  • Apache Ranger KMS (multi-master transparent encryption) version 2.0.0

  • ranger-plugins 2.0.1-amzn-0

  • ranger-s3-plugin 1.1.0

  • SageMaker Spark SDK version 1.4.1

  • Scala version 2.12.10 (OpenJDK 64-Bit Server VM, Java 1.8.0_282)

  • Spark version 3.1.1-amzn-0

  • spark-rapids 0.4.1

  • Sqoop version 1.4.7

  • TensorFlow version 2.4.1

  • tez version 0.9.2

  • Zeppelin version 0.9.0

  • Zookeeper version 3.4.14

  • Connectors and drivers: DynamoDB Connector 4.16.0

New features
  • Amazon EMR supports Amazon S3 Access Points, a feature of Amazon S3 that allows you to easily manage access for shared data lakes. Using your Amazon S3 Access Point alias, you can simplify your data access at scale on Amazon EMR. You can use Amazon S3 Access Points with all versions of Amazon EMR at no additional cost in all Amazon regions where Amazon EMR is available. To learn more about Amazon S3 Access Points and Access Point aliases, see Using a bucket-style alias for your access point in the Amazon S3 User Guide.

  • New DescribeReleaseLabel and ListReleaseLabel API parameters provide Amazon EMR release label details. You can programmatically list releases available in the region where the API request is run, and list the available applications for a specific Amazon EMR release label. The release label parameters also list Amazon EMR releases that support a specified application, such as Spark. This information can be used to programmatically launch Amazon EMR clusters. For example, you can launch a cluster using the latest release version from the ListReleaseLabel results. For more information, see DescribeReleaseLabel and ListReleaseLabels in the Amazon EMR API Reference.

  • With Amazon EMR 6.3.0, you can launch a cluster that natively integrates with Apache Ranger. Apache Ranger is an open-source framework to enable, monitor, and manage comprehensive data security across the Hadoop platform. For more information, see Apache Ranger. With native integration, you can bring your own Apache Ranger to enforce fine-grained data access control on Amazon EMR. See Integrate Amazon EMR with Apache Ranger in the Amazon EMR Management Guide.

  • Scoped managed policies: To align with Amazon best practices, Amazon EMR has introduced v2 EMR-scoped default managed policies as replacements for policies that will be deprecated. See Amazon EMR Managed Policies.

  • Instance Metadata Service (IMDS) V2 support status: For Amazon EMR 6.2 or later, Amazon EMR components use IMDSv2 for all IMDS calls. For IMDS calls in your application code, you can use both IMDSv1 and IMDSv2, or configure the IMDS to use only IMDSv2 for added security. If you disable IMDSv1 in earlier Amazon EMR 6.x releases, it causes cluster startup failure.

Changes, enhancements, and resolved issues
  • This is a release to fix issues with Amazon EMR Scaling when it fails to scale up/scale down a cluster successfully or causes application failures.

  • Fixed an issue where scaling requests failed for a large, highly utilized cluster when Amazon EMR on-cluster daemons were running health checking activities, such as gathering YARN node state and HDFS node state. This was happening because on-cluster daemons were not able to communicate the health status data of a node to internal Amazon EMR components.

  • Improved EMR on-cluster daemons to correctly track the node states when IP addresses are reused to improve reliability during scaling operations.

  • SPARK-29683. Fixed an issue where job failures occurred during cluster scale-down as Spark was assuming all available nodes were deny-listed.

  • YARN-9011. Fixed an issue where job failures occurred due to a race condition in YARN decommissioning when cluster tried to scale up or down.

  • Fixed issue with step or job failures during cluster scaling by ensuring that the node states are always consistent between the Amazon EMR on-cluster daemons and YARN/HDFS.

  • Fixed an issue where cluster operations such as scale down and step submission failed for Amazon EMR clusters enabled with Kerberos authentication. This was because the Amazon EMR on-cluster daemon did not renew the Kerberos ticket, which is required to securely communicate with HDFS/YARN running on the primary node.

  • Newer Amazon EMR releases fix the issue with a lower "Max open files" limit on older AL2 in Amazon EMR. Amazon EMR releases 5.30.1, 5.30.2, 5.31.1, 5.32.1, 6.0.1, 6.1.1, 6.2.1, 5.33.0, 6.3.0 and later now include a permanent fix with a higher "Max open files" setting.

  • Spark SQL UI explain mode default changed from extended to formatted in Spark 3.1. Amazon EMR reverted it back to extended to include logical plan information in the Spark SQL UI. This can be reverted by setting spark.sql.ui.explainMode to formatted.

  • The following commits were backported from the Spark master branch.

    - [SPARK-34752][BUILD] Bump Jetty to 9.4.37 to address CVE-2020-27223.

    - [SPARK-34534] Fix blockIds order when use FetchShuffleBlocks to fetch blocks.

    - [SPARK-34681] [SQL] Fix bug for full outer shuffled hash join when building left side with non-equal condition.

    - [SPARK-34497] [SQL] Fix built-in JDBC connection providers to restore JVM security context changes.

  • To improve interoperability with Nvidia Spark RAPIDs plugin, Added workaround to address an issue preventing dynamic partition pruning from triggering when using Nvidia Spark RAPIDs with adaptive query execution disabled, see RAPIDS issue #1378 and RAPIDS issue ##1386. For details of the new configuration spark.sql.optimizer.dynamicPartitionPruning.enforceBroadcastReuse, see RAPIDS issue ##1386.

  • The file output committer default algorithm has been changed from the v2 algorithm to the v1 algorithm in open source Spark 3.1. For more information, see this Amazon EMR optimizing Spark performance - dynamic partition pruning.

  • Amazon EMR reverted to the v2 algorithm, the default used in prior Amazon EMR 6.x releases, to prevent performance regression. To restore the open source Spark 3.1 behavior, set spark.hadoop.mapreduce.fileoutputcommitter.algorithm.version to 1. Open source Spark made this change because task commit in file output committer algorithm v2 is not atomic, which can cause an output data correctness issue in some cases. However, task commit in algorithm v1 is also not atomic. In some scenarios task commit includes a delete performed before a rename. This can result in a silent data correctness issue.

  • Fixed Managed Scaling issues in earlier Amazon EMR releases and made improvements so application failure rates are significantly reduced.

  • Installed the Amazon Java SDK Bundle on each new cluster. This is a single jar containing all service SDKs and their dependencies, instead of individual component jars. For more information, see Java SDK Bundled Dependency.

Known issues
  • For Amazon EMR 6.3.0 and 6.2.0 private subnet clusters, you cannot access the Ganglia web UI. You will get an "access denied (403)" error. Other web UIs, such as Spark, Hue, JupyterHub, Zeppelin, Livy, and Tez are working normally. Ganglia web UI access on public subnet clusters are also working normally. To resolve this issue, restart httpd service on the primary node with sudo systemctl restart httpd. This issue is fixed in Amazon EMR 6.4.0.

  • When Amazon Glue Data Catalog is enabled, using Spark to access a Amazon Glue DB with null string location URI may fail. This happens to earlier Amazon EMR releases, but SPARK-31709 (https://issues.apache.org/jira/browse/SPARK-31709) makes it apply to more cases. For example, when creating a table within the default Amazon Glue DB whose location URI is a null string, spark.sql("CREATE TABLE mytest (key string) location '/table_path';") fails with the message, "Cannot create a Path from an empty string." To work around this, manually set a location URI of your Amazon Glue databases, then create tables within these databases using Spark.

  • In Amazon EMR 6.3.0, PrestoSQL has upgraded from version 343 to version 350. There are two security related changes from the open source that relate to this version change. File-based catalog access control is changed from deny to allow when table, schema, or session property rules are not defined. Also, file-based system access control is changed to support files without catalog rules defined. In this case, all access to catalogs is allowed.

    For more information, see Release 344 (9 Oct 2020).

  • Note that the Hadoop user directory (/home/hadoop) is readable by everyone. It has Unix 755 (drwxr-xr-x) directory permissions to allow read access by frameworks like Hive. You can put files in /home/hadoop and its subdirectories, but be aware of the permissions on those directories to protect sensitive information.

  • Lower "Max open files" limit on older AL2 [fixed in newer releases]. Amazon EMR releases: emr-5.30.x, emr-5.31.0, emr-5.32.0, emr-6.0.0, emr-6.1.0, and emr-6.2.0 are based on older versions ofAmazon Linux 2 (AL2), which have a lower ulimit setting for "Max open files" when Amazon EMR clusters are created with the default AMI. Amazon EMR releases 5.30.1, 5.30.2, 5.31.1, 5.32.1, 6.0.1, 6.1.1, 6.2.1, 5.33.0, 6.3.0 and later include a permanent fix with a higher "Max open files" setting. Releases with the lower open file limit causes a "Too many open files" error when submitting Spark job. In the impacted releases, the Amazon EMR default AMI has a default ulimit setting of 4096 for "Max open files," which is lower than the 65536 file limit in the latestAmazon Linux 2 AMI. The lower ulimit setting for "Max open files" causes Spark job failure when the Spark driver and executor try to open more than 4096 files. To fix the issue, Amazon EMR has a bootstrap action (BA) script that adjusts the ulimit setting at cluster creation.

    If you are using an older Amazon EMR version that doesn't have the permanent fix for this issue, the following workaround lets you to explicitly set the instance-controller ulimit to a maximum of 65536 files.

    Explicitly set a ulimit from the command line
    1. Edit /etc/systemd/system/instance-controller.service to add the following parameters to Service section.

      LimitNOFILE=65536

      LimitNPROC=65536

    2. Restart InstanceController

      $ sudo systemctl daemon-reload

      $ sudo systemctl restart instance-controller

    Set a ulimit using bootstrap action (BA)

    You can also use a bootstrap action (BA) script to configure the instance-controller ulimit to 65536 files at cluster creation.

    #!/bin/bash for user in hadoop spark hive; do sudo tee /etc/security/limits.d/$user.conf << EOF $user - nofile 65536 $user - nproc 65536 EOF done for proc in instancecontroller logpusher; do sudo mkdir -p /etc/systemd/system/$proc.service.d/ sudo tee /etc/systemd/system/$proc.service.d/override.conf << EOF [Service] LimitNOFILE=65536 LimitNPROC=65536 EOF pid=$(pgrep -f aws157.$proc.Main) sudo prlimit --pid $pid --nofile=65535:65535 --nproc=65535:65535 done sudo systemctl daemon-reload
  • Important

    EMR clusters that run Amazon Linux or Amazon Linux 2 Amazon Machine Images (AMIs) use default Amazon Linux behavior, and do not automatically download and install important and critical kernel updates that require a reboot. This is the same behavior as other Amazon EC2 instances that run the default Amazon Linux AMI. If new Amazon Linux software updates that require a reboot (such as kernel, NVIDIA, and CUDA updates) become available after an Amazon EMR release becomes available, EMR cluster instances that run the default AMI do not automatically download and install those updates. To get kernel updates, you can customize your Amazon EMR AMI to use the latest Amazon Linux AMI.

  • To use Spark actions with Apache Oozie, you must add the following configuration to your Oozie workflow.xml file. Otherwise, several critical libraries such as Hadoop and EMRFS will be missing from the classpath of the Spark executors that Oozie launches.

    <spark-opts>--conf spark.yarn.populateHadoopClasspath=true</spark-opts>
  • When you use Spark with Hive partition location formatting to read data in Amazon S3, and you run Spark on Amazon EMR releases 5.30.0 to 5.36.0, and 6.2.0 to 6.9.0, you might encounter an issue that prevents your cluster from reading data correctly. This can happen if your partitions have all of the following characteristics:

    • Two or more partitions are scanned from the same table.

    • At least one partition directory path is a prefix of at least one other partition directory path, for example, s3://bucket/table/p=a is a prefix of s3://bucket/table/p=a b.

    • The first character that follows the prefix in the other partition directory has a UTF-8 value that’s less than than the / character (U+002F). For example, the space character (U+0020) that occurs between a and b in s3://bucket/table/p=a b falls into this category. Note that there are 14 other non-control characters: !"#$%&‘()*+,-. For more information, see UTF-8 encoding table and Unicode characters.

    As a workaround to this issue, set the spark.sql.sources.fastS3PartitionDiscovery.enabled configuration to false in the spark-defaults classification.

6.3.0 component versions

The components that Amazon EMR installs with this release are listed below. Some are installed as part of big-data application packages. Others are unique to Amazon EMR and installed for system processes and features. These typically start with emr or aws. Big-data application packages in the most recent Amazon EMR release are usually the latest version found in the community. We make community releases available in Amazon EMR as quickly as possible.

Some components in Amazon EMR differ from community versions. These components have a version label in the form CommunityVersion-amzn-EmrVersion. The EmrVersion starts at 0. For example, if open source community component named myapp-component with version 2.2 has been modified three times for inclusion in different Amazon EMR releases, its release version is listed as 2.2-amzn-2.

Component Version Description
aws-sagemaker-spark-sdk1.4.1Amazon SageMaker Spark SDK
emr-ddb4.16.0Amazon DynamoDB connector for Hadoop ecosystem applications.
emr-goodies3.2.0Extra convenience libraries for the Hadoop ecosystem.
emr-kinesis3.5.0Amazon Kinesis connector for Hadoop ecosystem applications.
emr-notebook-env1.2.0Conda env for emr notebook which includes jupyter enterprise gateway
emr-s3-dist-cp2.18.0Distributed copy application optimized for Amazon S3.
emr-s3-select2.1.0EMR S3Select Connector
emrfs2.46.0Amazon S3 connector for Hadoop ecosystem applications.
flink-client1.12.1Apache Flink command line client scripts and applications.
flink-jobmanager-config1.12.1Managing resources on EMR nodes for Apache Flink JobManager.
ganglia-monitor3.7.2Embedded Ganglia agent for Hadoop ecosystem applications along with the Ganglia monitoring agent.
ganglia-metadata-collector3.7.2Ganglia metadata collector for aggregating metrics from Ganglia monitoring agents.
ganglia-web3.7.1Web application for viewing metrics collected by the Ganglia metadata collector.
hadoop-client3.2.1-amzn-3Hadoop command-line clients such as 'hdfs', 'hadoop', or 'yarn'.
hadoop-hdfs-datanode3.2.1-amzn-3HDFS node-level service for storing blocks.
hadoop-hdfs-library3.2.1-amzn-3HDFS command-line client and library
hadoop-hdfs-namenode3.2.1-amzn-3HDFS service for tracking file names and block locations.
hadoop-hdfs-journalnode3.2.1-amzn-3HDFS service for managing the Hadoop filesystem journal on HA clusters.
hadoop-httpfs-server3.2.1-amzn-3HTTP endpoint for HDFS operations.
hadoop-kms-server3.2.1-amzn-3Cryptographic key management server based on Hadoop's KeyProvider API.
hadoop-mapred3.2.1-amzn-3MapReduce execution engine libraries for running a MapReduce application.
hadoop-yarn-nodemanager3.2.1-amzn-3YARN service for managing containers on an individual node.
hadoop-yarn-resourcemanager3.2.1-amzn-3YARN service for allocating and managing cluster resources and distributed applications.
hadoop-yarn-timeline-server3.2.1-amzn-3Service for retrieving current and historical information for YARN applications.
hbase-hmaster2.2.6-amzn-1Service for an HBase cluster responsible for coordination of Regions and execution of administrative commands.
hbase-region-server2.2.6-amzn-1Service for serving one or more HBase regions.
hbase-client2.2.6-amzn-1HBase command-line client.
hbase-rest-server2.2.6-amzn-1Service providing a RESTful HTTP endpoint for HBase.
hbase-thrift-server2.2.6-amzn-1Service providing a Thrift endpoint to HBase.
hcatalog-client3.1.2-amzn-4The 'hcat' command line client for manipulating hcatalog-server.
hcatalog-server3.1.2-amzn-4Service providing HCatalog, a table and storage management layer for distributed applications.
hcatalog-webhcat-server3.1.2-amzn-4HTTP endpoint providing a REST interface to HCatalog.
hive-client3.1.2-amzn-4Hive command line client.
hive-hbase3.1.2-amzn-4Hive-hbase client.
hive-metastore-server3.1.2-amzn-4Service for accessing the Hive metastore, a semantic repository storing metadata for SQL on Hadoop operations.
hive-server23.1.2-amzn-4Service for accepting Hive queries as web requests.
hudi0.7.0-amzn-0Incremental processing framework to power data pipline at low latency and high efficiency.
hudi-presto0.7.0-amzn-0Bundle library for running Presto with Hudi.
hudi-prestosql0.7.0-amzn-0Bundle library for running PrestoSQL with Hudi.
hudi-spark0.7.0-amzn-0Bundle library for running Spark with Hudi.
hue-server4.9.0Web application for analyzing data using Hadoop ecosystem applications
jupyterhub1.2.2Multi-user server for Jupyter notebooks
livy-server0.7.0-incubatingREST interface for interacting with Apache Spark
nginx1.12.1nginx [engine x] is an HTTP and reverse proxy server
mxnet1.7.0A flexible, scalable, and efficient library for deep learning.
mariadb-server5.5.68+MariaDB database server.
nvidia-cuda10.1.243Nvidia drivers and Cuda toolkit
oozie-client5.2.1Oozie command-line client.
oozie-server5.2.1Service for accepting Oozie workflow requests.
opencv4.5.0Open Source Computer Vision Library.
phoenix-library5.0.0-HBase-2.0The phoenix libraries for server and client
phoenix-query-server5.0.0-HBase-2.0A light weight server providing JDBC access as well as Protocol Buffers and JSON format access to the Avatica API
presto-coordinator0.245.1-amzn-0Service for accepting queries and managing query execution among presto-workers.
presto-worker0.245.1-amzn-0Service for executing pieces of a query.
presto-client0.245.1-amzn-0Presto command-line client which is installed on an HA cluster's stand-by masters where Presto server is not started.
prestosql-coordinator350Service for accepting queries and managing query execution among prestosql-workers.
prestosql-worker350Service for executing pieces of a query.
prestosql-client350Presto command-line client which is installed on an HA cluster's stand-by masters where Presto server is not started.
pig-client0.17.0Pig command-line client.
r4.0.2The R Project for Statistical Computing
ranger-kms-server2.0.0Apache Ranger Key Management System
spark-client3.1.1-amzn-0Spark command-line clients.
spark-history-server3.1.1-amzn-0Web UI for viewing logged events for the lifetime of a completed Spark application.
spark-on-yarn3.1.1-amzn-0In-memory execution engine for YARN.
spark-yarn-slave3.1.1-amzn-0Apache Spark libraries needed by YARN slaves.
spark-rapids0.4.1Nvidia Spark RAPIDS plugin that accelerates Apache Spark with GPUs.
sqoop-client1.4.7Apache Sqoop command-line client.
tensorflow2.4.1TensorFlow open source software library for high performance numerical computation.
tez-on-yarn0.9.2The tez YARN application and libraries.
webserver2.4.41+Apache HTTP server.
zeppelin-server0.9.0Web-based notebook that enables interactive data analytics.
zookeeper-server3.4.14Centralized service for maintaining configuration information, naming, providing distributed synchronization, and providing group services.
zookeeper-client3.4.14ZooKeeper command line client.

6.3.0 configuration classifications

Configuration classifications allow you to customize applications. These often correspond to a configuration XML file for the application, such as hive-site.xml. For more information, see Configure applications.

Reconfiguration actions occur when you specify a configuration for instance groups in a running cluster. Amazon EMR only initiates reconfiguration actions for the classifications that you modify. For more information, see Reconfigure an instance group in a running cluster.

emr-6.3.0 classifications
Classifications Description Reconfiguration Actions

capacity-scheduler

Change values in Hadoop's capacity-scheduler.xml file.

Restarts the ResourceManager service.

container-executor

Change values in Hadoop YARN's container-executor.cfg file.

Not available.

container-log4j

Change values in Hadoop YARN's container-log4j.properties file.

Not available.

core-site

Change values in Hadoop's core-site.xml file.

Restarts the Hadoop HDFS services Namenode, SecondaryNamenode, Datanode, ZKFC, and Journalnode. Restarts the Hadoop YARN services ResourceManager, NodeManager, ProxyServer, and TimelineServer. Additionally restarts Hadoop KMS, Ranger KMS, HiveServer2, Hive MetaStore, Hadoop Httpfs, and MapReduce-HistoryServer.

docker-conf

Change docker related settings.

Not available.

emrfs-site

Change EMRFS settings.

Restarts the Hadoop HDFS services Namenode, SecondaryNamenode, Datanode, ZKFC, and Journalnode. Restarts the Hadoop YARN services ResourceManager, NodeManager, ProxyServer, and TimelineServer. Additionally restarts HBaseRegionserver, HBaseMaster, HBaseThrift, HBaseRest, HiveServer2, Hive MetaStore, Hadoop Httpfs, and MapReduce-HistoryServer.

flink-conf

Change flink-conf.yaml settings.

Restarts Flink history server.

flink-log4j

Change Flink log4j.properties settings.

Restarts Flink history server.

flink-log4j-session

Change Flink log4j-session.properties settings for Kubernetes/Yarn session.

Restarts Flink history server.

flink-log4j-cli

Change Flink log4j-cli.properties settings.

Restarts Flink history server.

hadoop-env

Change values in the Hadoop environment for all Hadoop components.

Restarts the Hadoop HDFS services Namenode, SecondaryNamenode, Datanode, ZKFC, and Journalnode. Restarts the Hadoop YARN services ResourceManager, NodeManager, ProxyServer, and TimelineServer. Additionally restarts PhoenixQueryserver, HiveServer2, Hive MetaStore, and MapReduce-HistoryServer.

hadoop-log4j

Change values in Hadoop's log4j.properties file.

Restarts the Hadoop HDFS services SecondaryNamenode, Datanode, and Journalnode. Restarts the Hadoop YARN services ResourceManager, NodeManager, ProxyServer, and TimelineServer. Additionally restarts Hadoop KMS, Hadoop Httpfs, and MapReduce-HistoryServer.

hadoop-ssl-server

Change hadoop ssl server configuration

Not available.

hadoop-ssl-client

Change hadoop ssl client configuration

Not available.

hbase

Amazon EMR-curated settings for Apache HBase.

Custom EMR specific property. Sets emrfs-site and hbase-site configs. See those for their associated restarts.

hbase-env

Change values in HBase's environment.

Restarts the HBase services RegionServer, HBaseMaster, ThriftServer, RestServer.

hbase-log4j

Change values in HBase's hbase-log4j.properties file.

Restarts the HBase services RegionServer, HBaseMaster, ThriftServer, RestServer.

hbase-metrics

Change values in HBase's hadoop-metrics2-hbase.properties file.

Restarts the HBase services RegionServer, HBaseMaster, ThriftServer, RestServer.

hbase-policy

Change values in HBase's hbase-policy.xml file.

Not available.

hbase-site

Change values in HBase's hbase-site.xml file.

Restarts the HBase services RegionServer, HBaseMaster, ThriftServer, RestServer. Additionally restarts Phoenix QueryServer.

hdfs-encryption-zones

Configure HDFS encryption zones.

This classification should not be reconfigured.

hdfs-env

Change values in the HDFS environment.

Restarts Hadoop HDFS services Namenode, Datanode, and ZKFC.

hdfs-site

Change values in HDFS's hdfs-site.xml.

Restarts the Hadoop HDFS services Namenode, SecondaryNamenode, Datanode, ZKFC, and Journalnode. Additionally restarts Hadoop Httpfs.

hcatalog-env

Change values in HCatalog's environment.

Restarts Hive HCatalog Server.

hcatalog-server-jndi

Change values in HCatalog's jndi.properties.

Restarts Hive HCatalog Server.

hcatalog-server-proto-hive-site

Change values in HCatalog's proto-hive-site.xml.

Restarts Hive HCatalog Server.

hcatalog-webhcat-env

Change values in HCatalog WebHCat's environment.

Restarts Hive WebHCat server.

hcatalog-webhcat-log4j2

Change values in HCatalog WebHCat's log4j2.properties.

Restarts Hive WebHCat server.

hcatalog-webhcat-site

Change values in HCatalog WebHCat's webhcat-site.xml file.

Restarts Hive WebHCat server.

hive

Amazon EMR-curated settings for Apache Hive.

Sets configurations to launch Hive LLAP service.

hive-beeline-log4j2

Change values in Hive's beeline-log4j2.properties file.

Not available.

hive-parquet-logging

Change values in Hive's parquet-logging.properties file.

Not available.

hive-env

Change values in the Hive environment.

Restarts HiveServer2, HiveMetastore, and Hive HCatalog-Server. Runs Hive schemaTool CLI commands to verify hive-metastore.

hive-exec-log4j2

Change values in Hive's hive-exec-log4j2.properties file.

Not available.

hive-llap-daemon-log4j2

Change values in Hive's llap-daemon-log4j2.properties file.

Not available.

hive-log4j2

Change values in Hive's hive-log4j2.properties file.

Not available.

hive-site

Change values in Hive's hive-site.xml file

Restarts HiveServer2, HiveMetastore, and Hive HCatalog-Server. Runs Hive schemaTool CLI commands to verify hive-metastore. Also restarts Oozie and Zeppelin.

hiveserver2-site

Change values in Hive Server2's hiveserver2-site.xml file

Not available.

hue-ini

Change values in Hue's ini file

Restarts Hue. Also activates Hue config override CLI commands to pick up new configurations.

httpfs-env

Change values in the HTTPFS environment.

Restarts Hadoop Httpfs service.

httpfs-site

Change values in Hadoop's httpfs-site.xml file.

Restarts Hadoop Httpfs service.

hadoop-kms-acls

Change values in Hadoop's kms-acls.xml file.

Not available.

hadoop-kms-env

Change values in the Hadoop KMS environment.

Restarts Hadoop-KMS service.

hadoop-kms-log4j

Change values in Hadoop's kms-log4j.properties file.

Not available.

hadoop-kms-site

Change values in Hadoop's kms-site.xml file.

Restarts Hadoop-KMS and Ranger-KMS service.

hudi-env

Change values in the Hudi environment.

Not available.

jupyter-notebook-conf

Change values in Jupyter Notebook's jupyter_notebook_config.py file.

Not available.

jupyter-hub-conf

Change values in JupyterHubs's jupyterhub_config.py file.

Not available.

jupyter-s3-conf

Configure Jupyter Notebook S3 persistence.

Not available.

jupyter-sparkmagic-conf

Change values in Sparkmagic's config.json file.

Not available.

livy-conf

Change values in Livy's livy.conf file.

Restarts Livy Server.

livy-env

Change values in the Livy environment.

Restarts Livy Server.

livy-log4j

Change Livy log4j.properties settings.

Restarts Livy Server.

mapred-env

Change values in the MapReduce application's environment.

Restarts Hadoop MapReduce-HistoryServer.

mapred-site

Change values in the MapReduce application's mapred-site.xml file.

Restarts Hadoop MapReduce-HistoryServer.

oozie-env

Change values in Oozie's environment.

Restarts Oozie.

oozie-log4j

Change values in Oozie's oozie-log4j.properties file.

Restarts Oozie.

oozie-site

Change values in Oozie's oozie-site.xml file.

Restarts Oozie.

phoenix-hbase-metrics

Change values in Phoenix's hadoop-metrics2-hbase.properties file.

Not available.

phoenix-hbase-site

Change values in Phoenix's hbase-site.xml file.

Not available.

phoenix-log4j

Change values in Phoenix's log4j.properties file.

Restarts Phoenix-QueryServer.

phoenix-metrics

Change values in Phoenix's hadoop-metrics2-phoenix.properties file.

Not available.

pig-env

Change values in the Pig environment.

Not available.

pig-properties

Change values in Pig's pig.properties file.

Restarts Oozie.

pig-log4j

Change values in Pig's log4j.properties file.

Not available.

presto-log

Change values in Presto's log.properties file.

Restarts Presto-Server (for PrestoDB)

presto-config

Change values in Presto's config.properties file.

Restarts Presto-Server (for PrestoDB)

presto-password-authenticator

Change values in Presto's password-authenticator.properties file.

Not available.

presto-env

Change values in Presto's presto-env.sh file.

Restarts Presto-Server (for PrestoDB)

presto-node

Change values in Presto's node.properties file.

Not available.

presto-connector-blackhole

Change values in Presto's blackhole.properties file.

Not available.

presto-connector-cassandra

Change values in Presto's cassandra.properties file.

Not available.

presto-connector-hive

Change values in Presto's hive.properties file.

Restarts Presto-Server (for PrestoDB)

presto-connector-jmx

Change values in Presto's jmx.properties file.

Not available.

presto-connector-kafka

Change values in Presto's kafka.properties file.

Not available.

presto-connector-localfile

Change values in Presto's localfile.properties file.

Not available.

presto-connector-memory

Change values in Presto's memory.properties file.

Not available.

presto-connector-mongodb

Change values in Presto's mongodb.properties file.

Not available.

presto-connector-mysql

Change values in Presto's mysql.properties file.

Not available.

presto-connector-postgresql

Change values in Presto's postgresql.properties file.

Not available.

presto-connector-raptor

Change values in Presto's raptor.properties file.

Not available.

presto-connector-redis

Change values in Presto's redis.properties file.

Not available.

presto-connector-redshift

Change values in Presto's redshift.properties file.

Not available.

presto-connector-tpch

Change values in Presto's tpch.properties file.

Not available.

presto-connector-tpcds

Change values in Presto's tpcds.properties file.

Not available.

prestosql-log

Change values in Presto's log.properties file.

Restarts Presto-Server (for PrestoSQL)

prestosql-config

Change values in Presto's config.properties file.

Restarts Presto-Server (for PrestoSQL)

prestosql-password-authenticator

Change values in Presto's password-authenticator.properties file.

Restarts Presto-Server (for PrestoSQL)

prestosql-env

Change values in Presto's presto-env.sh file.

Restarts Presto-Server (for PrestoSQL)

prestosql-node

Change values in PrestoSQL's node.properties file.

Not available.

prestosql-connector-blackhole

Change values in PrestoSQL's blackhole.properties file.

Not available.

prestosql-connector-cassandra

Change values in PrestoSQL's cassandra.properties file.

Not available.

prestosql-connector-hive

Change values in PrestoSQL's hive.properties file.

Restarts Presto-Server (for PrestoSQL)

prestosql-connector-jmx

Change values in PrestoSQL's jmx.properties file.

Not available.

prestosql-connector-kafka

Change values in PrestoSQL's kafka.properties file.

Not available.

prestosql-connector-localfile

Change values in PrestoSQL's localfile.properties file.

Not available.

prestosql-connector-memory

Change values in PrestoSQL's memory.properties file.

Not available.

prestosql-connector-mongodb

Change values in PrestoSQL's mongodb.properties file.

Not available.

prestosql-connector-mysql

Change values in PrestoSQL's mysql.properties file.

Not available.

prestosql-connector-postgresql

Change values in PrestoSQL's postgresql.properties file.

Not available.

prestosql-connector-raptor

Change values in PrestoSQL's raptor.properties file.

Not available.

prestosql-connector-redis

Change values in PrestoSQL's redis.properties file.

Not available.

prestosql-connector-redshift

Change values in PrestoSQL's redshift.properties file.

Not available.

prestosql-connector-tpch

Change values in PrestoSQL's tpch.properties file.

Not available.

prestosql-connector-tpcds

Change values in PrestoSQL's tpcds.properties file.

Not available.

ranger-kms-dbks-site

Change values in dbks-site.xml file of Ranger KMS.

Restarts Ranger KMS Server.

ranger-kms-site

Change values in ranger-kms-site.xml file of Ranger KMS.

Restarts Ranger KMS Server.

ranger-kms-env

Change values in the Ranger KMS environment.

Restarts Ranger KMS Server.

ranger-kms-log4j

Change values in kms-log4j.properties file of Ranger KMS.

Not available.

ranger-kms-db-ca

Change values for CA file on S3 for MySQL SSL connection with Ranger KMS.

Not available.

spark

Amazon EMR-curated settings for Apache Spark.

This property modifies spark-defaults. See actions there.

spark-defaults

Change values in Spark's spark-defaults.conf file.

Restarts Spark history server and Spark thrift server.

spark-env

Change values in the Spark environment.

Restarts Spark history server and Spark thrift server.

spark-hive-site

Change values in Spark's hive-site.xml file

Not available.

spark-log4j

Change values in Spark's log4j.properties file.

Restarts Spark history server and Spark thrift server.

spark-metrics

Change values in Spark's metrics.properties file.

Restarts Spark history server and Spark thrift server.

sqoop-env

Change values in Sqoop's environment.

Not available.

sqoop-oraoop-site

Change values in Sqoop OraOop's oraoop-site.xml file.

Not available.

sqoop-site

Change values in Sqoop's sqoop-site.xml file.

Not available.

tez-site

Change values in Tez's tez-site.xml file.

Restart Oozie and HiveServer2.

yarn-env

Change values in the YARN environment.

Restarts the Hadoop YARN services ResourceManager, NodeManager, ProxyServer, and TimelineServer. Additionally restarts MapReduce-HistoryServer.

yarn-site

Change values in YARN's yarn-site.xml file.

Restarts the Hadoop YARN services ResourceManager, NodeManager, ProxyServer, and TimelineServer. Additionally restarts Livy Server and MapReduce-HistoryServer.

zeppelin-env

Change values in the Zeppelin environment.

Restarts Zeppelin.

zeppelin-site

Change configuration settings in zeppelin-site.xml.

Restarts Zeppelin.

zookeeper-config

Change values in ZooKeeper's zoo.cfg file.

Restarts Zookeeper server.

zookeeper-log4j

Change values in ZooKeeper's log4j.properties file.

Restarts Zookeeper server.